coefficients_summary: coefficients_summary

In AndrewLawrence/dCVnet: doubly cross-validated elastic-net regularised generalised linear models

coefficients_summary

Description

Extract the coefficients in the production model (fit to complete data) and provide descriptives for the coefficients in the outerloop cross-validation

Usage

coefficients_summary(object, ...)

Arguments

object	a dCVnet object
...	" "

Value

A data.frame with a row for each term/predictor in the model. Columns present coefficients of the Production Model (ProductionModel) and descriptives of coefficients from the outer-loop cross-validation. OuterMedian: the median over folds and repetitions of cross-validation. min, max: the smallest, largest values held by that coefficient over the cross-validation. propnz: the proportion of cross-validation folds for which the variable was non-zero (Note: this will be close to 1 for low alpha = ridge penalty)

See Also

coef.dCVnet

AndrewLawrence/dCVnet documentation built on Sept. 24, 2024, 5:24 a.m.